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Part of the book series: Studies in Computational Intelligence ((DSCC,volume 832))

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Abstract

In this research, the proposed research methodology comprising of the following elements: (a) Mass Spring Model (MSM)—to model human liver as a collection of mass points linked by a network of springs, (b) Knowledge-based Fuzzy MSM Parameters Controller (FMPC)—to obtain the corresponding stiffness coefficients regarding different liver illnesses, (c) Utilization of Computer Unified Architecture (CUDA)—to utilize as a platform or framework for GPU and CPU distribution of computational works.

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References

  • Basafa, E., & Farahmand, F. (2011). Real-time simulation of the nonlinear visco-elastic deformations of soft tissues. International Journal of Computer Assisted Radiology and Surgery, 6, 297–307.

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  • Kerdok, A. E. (2006). Characterizing the nonlinear mechanical response of liver to surgical manipulation. Dissertation for Degree of Doctor of Philosophy. Massachusetts: Harvard University.

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  • CUDA, C. (2013). Programming Guide v5. 5. NVIDIA Corporation, July. https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html.

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Correspondence to Joey Sing Yee Tan .

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Tan, J.S.Y., Sidhu, A.S. (2019). Methodology. In: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation. Studies in Computational Intelligence(), vol 832. Springer, Cham. https://doi.org/10.1007/978-3-030-15585-8_3

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